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Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF 2023-08-04
14:55
Hokkaido Hakodate Arena
(Primary: On-site, Secondary: Online)
An Elastic FPGA-based Accelerator for Bayesian Network Structure Learning
Ryota Miyagi (The Univ. of Tokyo), Ryota Yasudo (Kyoto Univ.), Kentaro Sano (RIKEN), Hideki Takase (The Univ. of Tokyo) RECONF2023-15
A Bayesian network is a powerful model for representing knowledge involving uncertainty within discrete random variables... [more] RECONF2023-15
pp.7-12
RECONF 2021-09-10
15:00
Online Online Parallel Calculation of Local Scores in Bayesian Network Structure Learning using FPGA
Ryota Miyagi (Kyoto Univ.), Hideki Takase (U. Tokyo/JST) RECONF2021-22
Bayesian network (BN) is a directed acyclic graph that represents relationships among variables in data sets. Because le... [more] RECONF2021-22
pp.30-35
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